RALES
发表于 2025-3-23 13:35:07
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figurine
发表于 2025-3-23 15:07:44
Successful Transposition of Lesson Studyng the leap conditions. We formulate a novel stochastic hybrid approximation method for chemical reaction networks based on adaptive partitioning of the species and reactions according to leap conditions into two classes, one solved numerically via the CME and the other using the LNA. The leap crite
muster
发表于 2025-3-23 21:40:47
The Role of a National Importerrowth, we propose an autonomous biological controller that can adaptively generate quorum sensing inhibitors and control the iron availability in the environment. As the main theoretical contribution, we provide a detailed analysis of our proposed controller that includes model calibration, system r
护航舰
发表于 2025-3-24 01:12:47
The Role of a National Importerses of heterogeneity is reaction rate equation (RRE) constrained mixture modeling, which enables the analysis of subpopulation structures and dynamics. These mixture models are calibrated using single cell snapshot data to estimate model parameters which are not measured or which cannot be assessed
Chagrin
发表于 2025-3-24 05:07:04
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有发明天才
发表于 2025-3-24 07:25:57
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DALLY
发表于 2025-3-24 13:27:37
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鞠躬
发表于 2025-3-24 14:53:53
https://doi.org/10.1007/978-3-658-39934-4 a reduction procedure tailored for reachability properties of the form “from global state ., there exists a sequence of transitions leading to a state where an automaton . is in a local state .”. By analysing the causality of transitions within the individual automata, the reduction identifies loca
Arable
发表于 2025-3-24 22:26:37
Implementing Microsoft Dynamics models with less variables and parameters, that can be more easily simulated and analyzed. We propose a reduction method that applies to ordinary differential equations models of voltage and ligand gated ion channels coupled to signaling and metabolism. These models are used for studying various bi
Loathe
发表于 2025-3-25 00:32:49
Computational Methods in Systems Biology978-3-319-45177-0Series ISSN 0302-9743 Series E-ISSN 1611-3349